"infinite-horizon undiscounted setting" Papers

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Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling

Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy

ICML 2024posterarXiv:2405.19017